Conference Paper: Moral reminder as a way to improve worker performance on Amazon Mechanical Turk

The 2015 Conference on Human Computation & Crowdsourcing (HCOMP 2015), San Diego, CA., 8-11 November 2015. How to Cite?

Abstract

The present study explores a method to reduce abusive worker behavior on Amazon Mechanical Turk (AMT), namely reminding workers of moral standards. We manipulated workers’ awareness of moral standards via the presence or the absence of an honesty statement in a survey. The results showed that the honesty statement significantly improved workers’ performance during the first half of the survey. This suggests that a moral reminder is a simple and efficient way to reduce abusive worker behavior in a relatively short survey on AMT.

The present study explores a method to reduce abusive worker behavior on Amazon Mechanical Turk (AMT), namely reminding workers of moral standards. We manipulated workers’ awareness of moral standards via the presence or the absence of an honesty statement in a survey. The results showed that the honesty statement significantly improved workers’ performance during the first half of the survey. This suggests that a moral reminder is a simple and efficient way to reduce abusive worker behavior in a relatively short survey on AMT.

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dc.language

eng

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dc.relation.ispartof

Conference on Human Computation & Crowdsourcing, HCOMP 2015

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dc.title

Moral reminder as a way to improve worker performance on Amazon Mechanical Turk